Python for Data Science For Dummies (有污漬)

Unleash the power of Python for your data analysis projects with For Dummies!

Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide.

• Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models
• Explains objects, functions, modules, and libraries and their role in data analysis
• Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib

Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

發揮Python在數據分析項目中的威力，使用《Python數據科學入門》！

Python是數據科學家首選的編程語言，將Matlab、Mathematica和R的最佳功能結合到專用於數據分析和可視化的庫中。《Python數據科學入門》向您展示如何利用Python編程來獲取、組織、處理和分析大量信息，並使用基本統計概念來識別趨勢和模式。在這本用戶友好的指南中，您將熟悉Python開發環境，操作數據，設計引人入勝的可視化效果，並解決科學計算挑戰。

• 介紹Python數據分析編程和統計的基礎知識，幫助您在概率、隨機分佈、假設檢驗和回歸模型等數據科學概念上建立堅實基礎


• 解釋對象、函數、模塊和庫以及它們在數據分析中的作用


• 引導您使用一些最廣泛使用的庫，包括NumPy、SciPy、BeautifulSoup、Pandas和MatPlobLib

無論您是對數據分析還是對Python都是新手，《Python數據科學入門》都是您掌握數據過載並對發現的大量信息進行有趣操作的實用指南。